This is not a live job opening, but by registering your interest, you’ll be on our radar for future opportunities in France, UK, and Germany.

Excited about joining Owkin but don’t see the perfect role in our Engineering Team just yet? We’d love to stay connected.

At Owkin, we value care, curiosity, creativity, and collaboration - and we appreciate that you share those values. Your interest tells us that you’re passionate about using AI to transform patients' lives and eager to collaborate with our talented Owkinautes. That means a lot to us.

What Happens Next?

• Read the description (below) of the team’s responsibilities, if it resonates with you, submit your interest

• We’ll review your submission to understand your skills, interests, and aspirations.

• If a relevant role opens up, we’ll be in touch to let you know.

• The timing is unpredictable - it could be weeks, months, or even a year. While we can’t promise an immediate fit, we’ll be sure to reach out if we find a strong match.

Thank you for your interest in Owkin - we truly appreciate it and hope to connect in the future!

About the role:

As a Research & Machine Learning Engineer, you will push the boundaries of AI in life sciences and help build the world’s leading Agentic AI product for biomedical researchers. You will design, train, and integrate cutting-edge models and computations that go beyond language — spanning biological and multimodal data such as histology slides, spatial transcriptomics, clinical variables and even physics & chemistry modalities.

You’ll balance applied research with practical engineering, shaping the intelligence behind a real-time system that empowers scientists to generate hypotheses, analyze data, and accelerate discovery. If you’re excited about bringing advanced AI to complex, high-impact biological and chemical problems, this role is for you.

Your expertise will be instrumental in selecting and developing the right models, designing reliable evaluation strategies, and exploring innovative ways to apply AI across diverse life sciences data.

In particular, you will:

• Collaborate within a multi-disciplinary team of product managers, designers, software engineers, and biomedical scientists.
• Research, design, and build machine learning models tailored to complex biological and chemical datasets.
• Explore and integrate LLMs, multimodal models, and domain-specific architectures (e.g., vision models for pathology, DNA-based and protein language models, molecular structure neural networks).
• Prototype and evaluate approaches for fine-tuning, prompt engineering, retrieval-augmented generation, and reinforcement learning with human or programmatic feedback.
• Establish robust evaluation and monitoring methodologies to ensure model performance, reliability, and interpretability in production.
• Translate state-of-the-art research into practical solutions, balancing scientific depth with product impact.
• Contribute to the broader technical vision and mentor teammates in ML best practices.

About you

• Strong scientific curiosity and creativity with an applied mindset.
• Proven experience in machine learning research and development (academic or industrial).
• Solid understanding of deep learning architectures (transformers, diffusion models, vision models, graph neural networks, etc.).
• Experience working with large and/or multimodal datasets — ideally in biomedical or chemistry or life sciences domain.
• Familiarity with LLM fine-tuning, evaluation, or RLHF is a plus.
• Strong programming skills (Python, PyTorch or TensorFlow).
• Experience bringing ML models to production or collaborating closely with engineers.
• Excellent communication and collaboration skills.
• Fluent English, both written and spoken.
• Stack: Python, PyTorch, Hugging Face, Kubernetes, AWS

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